I am currently a postdoctoral researcher at University of Southern California. I work with Prof. Ashutosh Nayyar, Prof. Rahul Jain, and Prof. Pierluigi Nuzzo on reinforcement learning algorithms. Prior to joining USC I was a postdoctoral researcher at University of California, Berkeley. I worked with Prof. Venkat Anantharam on mathematical properties related to the decomposition of correlated equilibrium. I obtained my Ph.D. at University of Michigan, Ann Arbor under the supervision of Prof. Vijay Subramanian. In my Ph.D. thesis I systematically proposed and analyzed notions of information states in dynamic games. I also obtained M.S. in Mathematics and M.S. in Electrical and Computer Engineering from University of Michigan, Ann Arbor.

My research interests involve design and analysis of efficient, safe, intepretable control and learning algorithms in stochastic dynamic systems, with a particular interest on multi-agent systems. I strive to propose principled solutions with theoretical guarantees for those systems with tools from control theory, estimation theory, probability theory, reinforcement learning theory, and game theory. Some of my past work has been on stochastic dynamic games among teams, queuing systems, and the LRU caching algorithm.

In my spare time I play guitar, listen to music, and continue trying and failing at writing original songs that are half as good as my research papers.

Dengwang Tang

Email: github username at umich.edu

(I guess my effort doesn't matter in the age of ChatGPT, right?)

Mailing Address:
Ming Hsieh Department of Electrical and Computer Engineering
University of Southern California
3740 McClintock Ave, EEB512
Los Angeles, CA 90089-2560
USA

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Present and Past Work

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